Background: This study was a 10-year cross sectional analysis of human factors in U.S. military UAV mishaps. Methods: Class A-C UAV mishap reports were reviewed and human factors coded using the Human Factors Analysis and Classification System (HFACS). HFACS codes were linked to human systems integration (HSI) domains. Binary logistic regression was used to create models predicting operator err...

The purpose of this study was: (1) to propose a classification system for the contributory factors behind major coach and bus accidents with mass casualties based on human factor analysis (HFACS); (2) identify main indicators causal factors. Based 56 official investigation reports more than 10 fatalities, qualitative content was conducted develop modified these accidents, gray correlation causa...

In recent years, maritime-related organizations and companies have moved to a risk-based approach. To determine the risks, it is necessary understand comprehensively why accidents occur how develops. The most effective measures need be identified implement accident prevention successfully. According results of scientific studies conducted in past, 80% human factors risks were marine accidents. ...

To investigate the human-related factors associated with suffocation on ships during docking repair, a comprehensive analysis model composed of Bayesian network (BN) and complex (CN) is proposed in present study. The principle event tree (ETA) firstly applied to identify hazardous events involved accident according report, based which CN would then be developed logic relationships among events....